Male sex bias in placental dysfunction
Bibliographic record
Abstract
Several reports suggest a male fetal preponderance in a variety of complications of pregnancy attributable to severe placental dysfunction (SPD). However, the underlying mechanisms remain unknown. Our primary objective was to explore the relationship between fetal sex and the spectrum of conditions implicated in abnormal placentation. We identified singleton pregnancies with a fetus delivered between 20 + 0 and 32 + 6 weeks of gestation with one or more pregnancy complications attributed to SPD (severe pre-eclampsia, intra-uterine fetal death, intra-uterine growth restriction, abnormal Doppler studies, abruption) at a single institution between 1999 and 2007. Pedigrees of index cases were created to define the relationship between fetal sex and the risk of SPD. We identified 132 index cases, 97/132 (73%) were male. Eighty-four index cases had a total of 133 sibs, of which 37/133 (28%) were affected with SPD (22 male, 15 female). A male sex preponderance persisted across all manifestations of PD in index cases with sibs. In families with the absence of maternal chronic hypertension (cHTN; n = 70), the index case was 5.9 (95% CI 2.28-16.15; P <0.001) times more likely to be male and most (12/14) affected sibs of male index cases were male, while female index cases had no affected sibs. Our results confirm a male fetal sex preponderance in SPD. In a subgroup analysis of families without cHTN, a significant male bias was found to extend to sibs of index cases. This suggests a potential genetic mechanism predisposing the male fetus to abnormal placental development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".